bundles / scipy 2.0.0.dev0+git20260907.41eeb59 / scipy / special / _basic / ivp
function
scipy.special._basic:ivp
source: build-install/usr/lib/python3.14/site-packages/scipy/special/_basic.py:1059
Signature
def ivp(v, z, n = 1)Summary
Compute derivatives of modified Bessel functions of the first kind.
Extended Summary
Compute the nth derivative of the modified Bessel function Iv with respect to z.
Parameters
v: array_like or floatOrder of Bessel function
z: array_likeArgument at which to evaluate the derivative; can be real or complex.
n: int, default 1Order of derivative. For 0, returns the Bessel function iv itself.
Returns
: scalar or ndarraynth derivative of the modified Bessel function.
Notes
The derivative is computed using the relation DLFM 10.29.5 [2].
Examples
Compute the modified Bessel function of the first kind of order 0 and its first two derivatives at 1.from scipy.special import ivp
✓ivp(0, 1, 0), ivp(0, 1, 1), ivp(0, 1, 2)
✗(np.float64(1.2660658777520084), np.float64(0.565159103992485), np.float64(0.7009067737595233))Compute the first derivative of the modified Bessel function of the first kind for several orders at 1 by providing an array for `v`.
ivp([0, 1, 2], 1, 1)
✗array([0.565, 0.701, 0.294])Compute the first derivative of the modified Bessel function of the first kind of order 0 at several points by providing an array for `z`.
import numpy as np points = np.array([0., 1.5, 3.])✓
ivp(0, points, 1)
✗array([0. , 0.982, 3.953])Plot the modified Bessel function of the first kind of order 1 and its first three derivatives.
import matplotlib.pyplot as plt x = np.linspace(-5, 5, 1000) fig, ax = plt.subplots()✓
ax.plot(x, ivp(1, x, 0), label=r"$I_1$") ax.plot(x, ivp(1, x, 1), label=r"$I_1'$") ax.plot(x, ivp(1, x, 2), label=r"$I_1''$") ax.plot(x, ivp(1, x, 3), label=r"$I_1'''$") plt.legend()✗
<matplotlib.legend.Legend object at 0x7f3f697317f0>
plt.show()
✓
See also
Aliases
scipy.special.ivp